Latest Articles for Training Data

WELL simplifies bug localization using weakly supervised learning methods.

Evaluating strategies to manage inappropriate outputs from image generation models.

A method for teaching computers to generate and customize game levels and models.

This study explores new methods for improving math problem-solving using language models.

An overview of recent advancements in text style transfer techniques.

A new method combines machine learning with simulations to generate valuable data.

This study focuses on recognizing Arabic dialects using advanced methods and limited data.

Addressing challenges in voice recognition of African names for better user experience.

LOWA enhances object detection by focusing on traits and flexible descriptions.

CoDi enables simultaneous generation of diverse content types from various inputs.

A detailed look at speaker recognition techniques developed for the 2022 competition.

Exploring how ciwGAN can learn and represent phonological features like nasality.

Study assesses privacy risks of generative models in medical data sharing.

Studying how biases in training data influence model behavior and performance.

A new method improves image recognition performance on rare categories.

This research presents a method to balance creativity and factual accuracy in language models.

Polyglot-Ko aims to create high-quality language models for Korean speakers.

This study highlights the need for better recognition of non-binary pronouns in language models.

Integrating user feedback to improve image captioning models for better user experience.

Researchers apply machine learning techniques to understand nanosilicate clusters in space.

A new approach improves text classification across multiple languages.

A new method reveals how well DNNs learn important features from training data.

A new method speeds up database queries using machine learning techniques.

A new method improves neural network defenses against adversarial attacks.

Explores how negative examples influence AI learning and potential risks.

Using VR sketches to simplify 3D model creation for all.

A semi-automated method for better machine translation data creation.

A study on using images to clarify word meanings.

FTT improves detection by forecasting news trends.

A new method focuses on data structure to enhance AI training outcomes.

This article explores the impact of gender bias in sentiment analysis with BERT.

This study reviews machine learning's effectiveness in finding software vulnerabilities through modified data testing.

A new system allows custom categories for text classification with no retraining needed.

This article discusses a hybrid system for machines to solve math problems efficiently.

This article discusses machine learning approaches to predict hydrogen combustion reactions.

This study assesses language models in medical named entity recognition accuracy.

Discover the importance of fairness and the CIF framework in machine learning.

IMSRG-Net uses machine learning to streamline complex nuclear physics calculations.

Researchers use deep learning to improve detection of gravitational waves in astronomy.

A novel weight initialization method enhances segmentation accuracy in medical imaging.